A change of measure enhanced near exact Euler Maruyama scheme for the solution to nonlinear stochastic dynamical systems. - Tapas Tripura; Mohammad Imran; Budhaditya Hazra; Souvik Chakraborty (CoRR, 2021)

Generalized weakly corrected Milstein solutions to stochastic differential equations. - Tapas Tripura; Budhaditya Hazra; Souvik Chakraborty (CoRR, 2021)

Wavelet neural operator: a neural operator for parametric partial differential equations. - Tapas Tripura; Souvik Chakraborty (CoRR, 2022)

Multi-fidelity wavelet neural operator with application to uncertainty quantification. - Akshay Thakur; Tapas Tripura; Souvik Chakraborty (CoRR, 2022)

Model-agnostic stochastic model predictive control. - Tapas Tripura; Souvik Chakraborty (CoRR, 2022)

Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems. - Tapas Tripura; Aarya Sheetal Desai; Sondipon Adhikari; Souvik Chakraborty (CoRR, 2022)

Physics informed WNO. - Navaneeth N.; Tapas Tripura; Souvik Chakraborty (CoRR, 2023)

A Bayesian Framework for learning governing Partial Differential Equation from Data. - Kalpesh Sanjay More; Tapas Tripura; Rajdip Nayek; Souvik Chakraborty (CoRR, 2023)

Discovering stochastic partial differential equations from limited data using variational Bayes inference. - Yogesh Chandrakant Mathpati; Tapas Tripura; Rajdip Nayek; Souvik Chakraborty (CoRR, 2023)

A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data. - Tapas Tripura; Souvik Chakraborty (CoRR, 2023)

A foundational neural operator that continuously learns without forgetting. - Tapas Tripura; Souvik Chakraborty (CoRR, 2023)

A wavelet neural operator based elastography for localization and quantification of tumors. - Tapas Tripura; Abhilash Awasthi; Sitikantha Roy; Souvik Chakraborty (Comput. Methods Programs Biomed., 2023)

MAntRA: A framework for model agnostic reliability analysis. - Yogesh Chandrakant Mathpati; Kalpesh Sanjay More; Tapas Tripura; Rajdip Nayek; Souvik Chakraborty (Reliab. Eng. Syst. Saf., 2023)

Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data. - Jyoti Rani; Tapas Tripura; Hariprasad Kodamana; Souvik Chakraborty (CoRR, 2024)

Discovering interpretable Lagrangian of dynamical systems from data. - Tapas Tripura; Souvik Chakraborty (Comput. Phys. Commun., 2024)

Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator. - Hartej Soin; Tapas Tripura; Souvik Chakraborty (Comput. Phys. Commun., 2025)

Deep muscle electromyogram construction using a physics-integrated deep learning approach. - Rajnish Kumar; Tapas Tripura; Souvik Chakraborty; Sitikantha Roy (Eng. Appl. Artif. Intell., 2025)

Deep Muscle EMG construction using A Physics-Integrated Deep Learning approach. - Rajnish Kumar; Tapas Tripura; Souvik Chakraborty; Sitikantha Roy (CoRR, 2025)

From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems. - Sawan Kumar; Tapas Tripura; Rajdip Nayek; Souvik Chakraborty (CoRR, 2025)